With the unlabeled target data, we can apply unsupervised domain adaptation methods to improve the model's performance on the target domain. The adversarial approaches are shown to outperform other methods [1]}. Considering the paired nature of our data, we divide the adversarial methods into two groups: (i) image-to-image translation and (ii) feature-level adaptation.
